


import os

import pytest

from transformers.dynamic_module_utils import get_imports


_SCREAMING_SNAKE_CASE     :					str      =       "\nimport os\n"

_SCREAMING_SNAKE_CASE     :					List[Any]      =       "\ndef foo():\n    import os\n    return False\n"

_SCREAMING_SNAKE_CASE     :					str      =       "\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n"

_SCREAMING_SNAKE_CASE     :					Any      =       "\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       "\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					List[Any]      =       "\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					List[str]      =       "\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       "\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       "\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					int      =       "\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n"

_SCREAMING_SNAKE_CASE     :					List[Any]      =       [
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]
@pytest.mark.parametrize('''case'''				,UpperCamelCase_							)
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							os.path.join(UpperCamelCase_				,'''test_file.py'''							)
     with open(UpperCamelCase_				,'''w'''							) as _tmp_file:
          _tmp_file.write(UpperCamelCase_							)

     snake_case											=							get_imports(UpperCamelCase_							)
     assert parsed_imports == ["os"]








from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     :					int      =       {
    "facebook/deit-base-distilled-patch16-224": (
        "https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						'deit'
    def __init__(			self     ,   __snake_case=7_6_8     ,   __snake_case=1_2     ,   __snake_case=1_2     ,   __snake_case=3_0_7_2     ,   __snake_case="gelu"     ,   __snake_case=0.0     ,   __snake_case=0.0     ,   __snake_case=0.02     ,   __snake_case=1E-12     ,   __snake_case=2_2_4     ,   __snake_case=1_6     ,   __snake_case=3     ,   __snake_case=True     ,   __snake_case=1_6     ,   **__snake_case     ,   ):
         super().__init__(**__snake_case       )

         snake_case											=							hidden_size
         snake_case											=							num_hidden_layers
         snake_case											=							num_attention_heads
         snake_case											=							intermediate_size
         snake_case											=							hidden_act
         snake_case											=							hidden_dropout_prob
         snake_case											=							attention_probs_dropout_prob
         snake_case											=							initializer_range
         snake_case											=							layer_norm_eps
         snake_case											=							image_size
         snake_case											=							patch_size
         snake_case											=							num_channels
         snake_case											=							qkv_bias
         snake_case											=							encoder_stride






class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						version.parse('1.11'      )
    @property
    def 						a_     (			self       ):
         return OrderedDict(
             [
                 ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
             ]       )




    @property
    def 						a_     (			self       ):
         return 1E-4




